- Cover image
- Title page
- Table of Contents
- Copyright
- Introduction
- About the Editors
- Section Editors
- Authors Biography
- Section 1: Statistical Signal Processing
- Chapter 1. Introduction to Statistical Signal Processing
- Chapter 2. Model Order Selection
- Chapter 3. Non-Stationary Signal Analysis Time-Frequency Approach
- Chapter 4. Bayesian Computational Methods in Signal Processing
- Chapter 5. Distributed Signal Detection
- Chapter 6. Quickest Change Detection
- Abstract
- Acknowledgments
- 3.06.1 Introduction
- 3.06.2 Mathematical preliminaries
- 3.06.3 Bayesian quickest change detection
- 3.06.4 Minimax quickest change detection
- 3.06.5 Relationship between the models
- 3.06.6 Variants and generalizations of the quickest change detection problem
- 3.06.7 Applications of quickest change detection
- 3.06.8 Conclusions and future directions
- References
- Chapter 7. Geolocation—Maps, Measurements, Models, and Methods
- Chapter 8. Performance Analysis and Bounds
- Abstract
- 3.08.1 Introduction
- 3.08.2 Parametric statistical models
- 3.08.3 Maximum likelihood estimation and the CRB
- 3.08.4 Mean-square error bound
- 3.08.5 Perturbation methods for algorithm analysis
- 3.08.6 Constrained Cramér-Rao bound and constrained MLE
- 3.08.7 Multiplicative and non-Gaussian noise
- 3.08.8 Asymptotic analysis and the central limit theorem
- 3.08.9 Asymptotic analysis and parametric models
- 3.08.10 Monte Carlo methods
- 3.08.11 Confidence intervals
- 3.08.12 Conclusion
- References
- Chapter 9. Diffusion Adaptation Over Networks
- Abstract
- Acknowledgments
- 3.09.1 Motivation
- 3.09.2 Mean-square-error estimation
- 3.09.3 Distributed optimization via diffusion strategies
- 3.09.4 Adaptive diffusion strategies
- 3.09.5 Performance of steepest-descent diffusion strategies
- 3.09.6 Performance of adaptive diffusion strategies
- 3.09.7 Comparing the performance of cooperative strategies
- 3.09.8 Selecting the combination weights
- 3.09.9 Diffusion with noisy information exchanges
- 3.09.10 Extensions and further considerations
- Appendices
- References
- Section 2: Array Signal Processing
- Chapter 10. Array Signal Processing: Overview of the Included Chapters
- Chapter 11. Introduction to Array Processing
- Chapter 12. Adaptive and Robust Beamforming
- Chapter 13. Broadband Beamforming and Optimization
- Chapter 14. DOA Estimation Methods and Algorithms
- Chapter 15. Subspace Methods and Exploitation of Special Array Structures
- Chapter 16. Performance Bounds and Statistical Analysis of DOA Estimation
- Chapter 17. DOA Estimation of Nonstationary Signals
- Chapter 18. Source Localization and Tracking
- Chapter 19. Array Processing in the Face of Nonidealities
- Chapter 20. Applications of Array Signal Processing
- Index
Academic Press Library in Signal Processing
Array and Statistical Signal Processing
Volume 3
First Edition
Editors
Abdelhak M. Zoubir
Signal processing Group, Technische Universität Darmstadt, Germany
Mats Viberg
Department of Signals and Systems Chalmers University of Technology, Sweden
Rama Chellappa
Department of Electrical and Computer Engineering and Center for Automation Research, University of Maryland, College Park, MD, USA
Sergios Theodoridis
Department of Informatics & Telecommunications, University of Athens, Greece
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